Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add InternScience/ChemClaw --skill md-vib-spectra-simulationgit clone --depth 1 https://github.com/InternScience/ChemClawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/internscience/chemclaw/md-vib-spectra-simulation)<a href="https://agentmods.dev/skills/internscience/chemclaw/md-vib-spectra-simulation"><img src="https://agentmods.dev/badge/skills/internscience/chemclaw/md-vib-spectra-simulation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/internscience/chemclaw/md-vib-spectra-simulation"><img src="https://agentmods.dev/badge/skills/internscience/chemclaw/md-vib-spectra-simulation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.01069 |
| Opus 5 | $0.00018 | $0.00535 |
| Sonnet 5 | $0.00007 | $0.00214 |
| Haiku 4.5 | $0.00004 | $0.00107 |
Grade A, and why
md-vib-spectra-simulation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MD Vibrational Spectra Simulation Skill
When to use this
Use this skill when the user has an MD trajectory and wants:
- Power spectrum — velocity autocorrelation(仅需速度)
- IR spectrum — dipole moment autocorrelation(需偶极矩,见 MLatom 文档)
Inputs
- h5md file — coords + velocities(IR 时需含 dipole,如 AIQM1/MNDO 轨迹)
- xyz + vxyz — coordinates and velocities(IR 时另需 --dp 偶极档)
- SMILES or xyz — 可 --run-md 先跑 GFN2-xTB MD
Outputs
/tmp/chemclaw/power_spectrum.png— power spectrum(--spectrum ps)/tmp/chemclaw/ir_spectrum.png— IR spectrum(--spectrum ir,需轨迹含 dipole)
Theory
- Power spectrum: 速度自相关的傅立叶变换
- IR spectrum: 偶极矩自相关的傅立叶变换(需 dipole moments)
New environment (from zero)
conda create -n spec python=3.12 -y
conda activate spec
conda install -c conda-forge xtb -y
cd md-vib-spectra-simulation
pip install -r requirements.txt
python power_spectrum_simulation.py CCO --run-md --spectrum ps --time 20 --temp 300 --md-dt 0.5 --autocorr 8 --zeropad 16
- 仅处理已有轨迹档(h5md / xyz+vxyz)时,可不装
xtb;requirements.txt已涵盖主要依赖。 - macOS 上
--run-md与 IR/Raman 相同,需系统可用的xtb(conda-forge)。
How to use
1. From h5md trajectory
cd md-vib-spectra-simulation
python power_spectrum_simulation.py ethanol_traj.h5 --dt 0.5
2. From xyz + vxyz
cd md-vib-spectra-simulation
python power_spectrum_simulation.py assets/ethanol_traj.xyz --vxyz assets/ethanol_traj.vxyz --dt 0.5
3. IR spectrum(需轨迹含 dipole)
cd md-vib-spectra-simulation
# h5md 来自 AIQM1/MNDO 等有 dipole 的方法
python power_spectrum_simulation.py ethanol_traj.h5 --spectrum ir
# xyz + vxyz + dp(每行 dx dy dz)
python power_spectrum_simulation.py traj.xyz --vxyz traj.vxyz --dp traj.dp --spectrum ir
# 同时输出 power spectrum 与 IR
python power_spectrum_simulation.py ethanol_traj.h5 --spectrum both
4. Run MD first (SMILES or xyz)
cd md-vib-spectra-simulation
# GFN2-xTB(可直接算 power spectrum)
python power_spectrum_simulation.py CCO --run-md --time 1000 --temp 300 --md-dt 0.5
# GFN2-xTB(有 dipole,可算 IR + power spectrum)
python power_spectrum_simulation.py CCO --run-md --spectrum both --time 500
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 103 lines · 37 tokens per session scan A d4ce3a2ce13f
md-vib-spectra-simulation is a skill published in the GitHub repository InternScience/ChemClaw (52 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 1,069 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
matlab
Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
phylogenetics
Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
mapping-to-snomed
Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…